12 Jun 2026

Senior Data Platform Engineer

Bitvavo

Amsterdam

12 Jun 2026

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We are seeking a Senior Data Platform Engineer to join our Data Platform team in Amsterdam. The role involves building a self-service Data Platform and evolving data infrastructure using Infrastructure as Code and automation. Ideal candidates have experience with Python, Go, Kotlin, distributed data processing, and tools like Terraform and Kubernetes.

AIOn-siteFull-timeSeniorPythonGo

Senior Data Platform Engineer

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AIOn-siteFull-timeSeniorPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

PythonGoKotlinInfrastructure as CodeTerraformKubernetesDistributed data processingStream processingData storage systemsCloudReal-time analyticsBatch processingMachine LearningData ingestionData Platform

Soft Skills

Problem-solvingCommunicationOwnershipAccountabilityInitiativeMentoring

Key Responsibilities

•Build a self-service Data Platform that enables teams to build data products as easily and reliably as possible.
•Continuously evolve our platform to support new data use cases, including real-time analytics, batch processing, and machine learning.
•Build and maintain a secure, scalable, and compliant data infrastructure using Infrastructure as Code and automation.
•Enable data ingestion, processing, and consumption at scale. All are offered entirely as self-service.
•Mentor teammates by sharing technical knowledge, providing constructive feedback, and driving engineering excellence.

SeniorData Platform EngineerFinancial ServicesAmsterdamOn-sitePythonGoKotlinTerraformKubernetes

Core Qualifications

Technical (Must-have)

Soft Skills

Problem-solvingCommunicationOwnershipAccountabilityInitiativeMentoring

Key Responsibilities

•Build a self-service Data Platform that enables teams to build data products as easily and reliably as possible.

•Continuously evolve our platform to support new data use cases, including real-time analytics, batch processing, and machine learning.

•Build and maintain a secure, scalable, and compliant data infrastructure using Infrastructure as Code and automation.

•Enable data ingestion, processing, and consumption at scale. All are offered entirely as self-service.

•Mentor teammates by sharing technical knowledge, providing constructive feedback, and driving engineering excellence.